基于模糊神经网络的压边力优化控制专家系统  

Expert System Based on Fuzzy Neural Network for the Optimal Control of Blank Holder Force

作　　者：汪锐[1] 罗亚军[1] 何丹农[1] 王东哲[1] 郦均[2] 张苇[2] 

机构地区：[1]上海交通大学塑性成形工程系,上海200030 [2]上海大众汽车有限公司,上海201805

出　　处：《上海交通大学学报》2001年第3期411-415,共5页Journal of Shanghai Jiaotong University

基　　金：上海市汽车基金项目!(2 194A) ;上海市科学技术基金!项目 (9911110 11)

摘　　要：说明了压边力优化控制模糊神经网络专家系统的总体结构框架及系统各模块的功能 ,对模糊神经元的选取、模糊神经网络的构造和模糊神经推理机制进行了深入的阐述 ,针对板料拉深过程中的变量选取了模糊神经网络的输入输出参数 .在板料拉深过程中 ,应用压边力优化控制模糊神经网络专家系统实现了冲压成形过程的智能化控制 .The paper presented the function frame of fuzzy neural network based expert system for the optimized control of blank holder force and the functions of its central modules. The selection of fuzzy neural element, the construction of fuzzy neural network and the fuzzy neural network reasoning mechanism were explained. By pertinently selecting important input and output parameters of the fuzzy neural network in different variables of sheet forming process, the system successfully applied the fuzzy neural network based expert system to the optimal control of blank holder force, which actualized the artificial intelligence control of metal sheet drawing process.

关 键 词：压边力 模糊神经网络 专家系统 优化控制 板料 冲压成形 智能化控制 

分 类 号：TG386.41[金属学及工艺—金属压力加工] TP182[自动化与计算机技术—控制理论与控制工程]